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Thanks to Jev, you can now write workflows in plain English and run them instantly like code. I spent the day feeding it descriptions of tasks and it spit out workflows across hundreds of apps faster than I could read them. An agent could do this already, in 30... show more

Gil Feig

2,025 subscribers

50,880 次观看 • 1 天前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

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26 条评论

Gil Feig 的头像

Gil Feig1 天前

Higher quality video - not sure what happened to the original

Ethan+ 的头像

Ethan+1 天前

How does it actually work? Can we check out the repo?

Gil Feig 的头像

Gil Feig1 天前

Yes, I’ll work on getting the code ready to share! It starts with selecting relevant tools. It also evaluates dependencies, so any that require inputs not in the original prompt. Once that’s done, it evaluates step insertions, removals, and reordering.

Dvir 的头像

Dvir1 天前

you should see his videos, he wants get rid of things like that and that jev will be the brain. see this one

Cellou Diallo 的头像

Cellou Diallo1 天前

great use case @GilFeig been playing around with Jev and it's amazing at the real use case one can think of

Gil Feig 的头像

Gil Feig1 天前

I started off just to see if it could solve it, and it's way better than I expected.

Cellou Diallo 的头像

Cellou Diallo1 天前

it keeps surprising me indeed!

Mo. K 的头像

Mo. K1 天前

Impressive results.

Chen 的头像

Chen1 天前

yeah. i keep underestimating how long the second half takes

Gil Feig 的头像

Gil Feig1 天前

The ordering of the steps?

Bruno Pais 的头像

Bruno Pais1 天前

@shensi Holy shit this looks great !

Roni Rechter 的头像

Roni Rechter1 天前

Plain English works right up until someone writes an ambiguous sentence.

Brjan | AI Builder 的头像

Brjan | AI Builder1 天前

using plain English for workflows is a big win, but it won't handle all edge cases

Gil Feig 的头像

Gil Feig1 天前

True, doesn’t work for everything, because not everything’s a predetermined workflow. But for process automation and most work tasks, this destroys all the workflow and products and agent builders on the market

Heshie Brody 的头像

Heshie Brody1 天前

so cool

Gil Feig 的头像

Gil Feig1 天前

I was honestly shocked at how good it is

Nobody 的头像

Nobody1 天前

Free?

ShadowAguy 的头像

ShadowAguy1 天前

The bottleneck was never the agent, it was the API integration. If MERGE actually solves the routing layer, the workflow is just a dependency graph.

Artem Biryukov 的头像

Artem Biryukov1 天前

you can do the same with any model i don't see how it is any different than using luna

Neekhil Vatsa 的头像

Neekhil Vatsa1 天前

Everyone is reporting success, i report what did not work

Gil Feig 的头像

Gil Feig1 天前

This is important too!

Sooraj Chandran 的头像

Sooraj Chandran1 天前

Is it a Jev call at each step to determine what tool to call? Is there a place where we can read how it's working under the hood?

Bruno 的头像

Bruno1 天前

How many calls you need to this? Are you planning to put it to github pls?

Athena Prime 的头像

Athena Prime1 天前

Natural-language workflows are a great interface when the system keeps the plan visible and asks for confirmation at consequential steps. Speed plus inspectability is the sweet spot.

Zach Lee 的头像

Zach Lee1 天前

Any benchmark on how accurate it is in terms of generating the right workflow?

Saeed Anwar 的头像

Saeed Anwar1 天前

Plain English to executable workflow removes the setup overhead that blocks non-technical users. Have you hit edge cases where the generated workflow broke unexpectedly?

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47,717 次观看 • 3 个月前

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

You can create an AI Agent that answers your email with a few clicks. 1. Go to ChatLLM ( 2. Click on AI Engineer 3. Select Create an AI Agent 4. Choose the Email Answering Agent ChatLLM will do the rest: it will code, test, and deploy the agent for you. You can also create a custom agent in English. The Agent Economy is coming (somebody should write a book and use this title.) We are going to see examples like this, times 1,000 in 2025. Just think about how many repetitive tasks you perform every day. Some of these tasks are involved enough that we couldn't automate them with pre-AI solutions. That's where we'll see agents explode, and I'm here for it.

Santiago

79,974 次观看 • 1 年前

Ora just released the Trustpilot for AI agents 🤯 Every agent faces the same question: "which product should I use for my user?" Now they can ask ora. One MCP call returns a ranked list of agent-ready products, scored and reviewed by other agents who tried them first. Add it to OpenClaw, Hermes or any other agent in 30 seconds. Check out the docs here:

Ora just released the Trustpilot for AI agents 🤯 Every agent faces the same question: "which product should I use for my user?" Now they can ask ora. One MCP call returns a ranked list of agent-ready products, scored and reviewed by other agents who tried them first. Add it to OpenClaw, Hermes or any other agent in 30 seconds. Check out the docs here:

Assaf Elovic

16,919 次观看 • 4 个月前

Today, we're officially rolling out real-time, live video clipping in Overlap. The best creators, brands, and media companies stream for hours every day. Some run live programming around the clock. With Overlap, you can now build an agent that has the speed (and taste) to identify viral moments as they happen, edit them in real time, and distribute them across socials within minutes. Using it feels like hiring an army of video editors who can edit and post 20 clips before you finish a livestream. Shout out to Casey Traina and Chinmay for pushing this live 🙌

Today, we're officially rolling out real-time, live video clipping in Overlap. The best creators, brands, and media companies stream for hours every day. Some run live programming around the clock. With Overlap, you can now build an agent that has the speed (and taste) to identify viral moments as they happen, edit them in real time, and distribute them across socials within minutes. Using it feels like hiring an army of video editors who can edit and post 20 clips before you finish a livestream. Shout out to Casey Traina and Chinmay for pushing this live 🙌

Jonathan Baer

12,639 次观看 • 2 个月前